EDA
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Density Plot for Gender
Gender wise Distribution
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Age wise Density Plot
Age wise boxplot
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Education
Heat Map for Education - Age
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Marital Status wise Distribution
Correlation Plot
Correlation Plot
LR Prediction Stats
Confusion Matrix for Logistic Regression
logistic_default 0 1
0 4500 1013
1 145 319Accuracy
[1] 0.8062573Row
AUC Curve for Logistic Regression
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AUC value
Area under the curve: 0.7244RF Prediction Stats
Confusion Matrix for Random Forest
Confusion Matrix and Statistics
actual
predictions 0 1
0 4398 836
1 247 496
Accuracy : 0.8188
95% CI : (0.8088, 0.8285)
No Information Rate : 0.7771
P-Value [Acc > NIR] : 1.291e-15
Kappa : 0.379
Mcnemar's Test P-Value : < 2.2e-16
Precision : 0.66756
Recall : 0.37237
F1 : 0.47807
Prevalence : 0.22285
Detection Rate : 0.08298
Detection Prevalence : 0.12431
Balanced Accuracy : 0.65960
'Positive' Class : 1
Row
AUC Curve for Random Forest
Summary
Column
Report
The accuracy for Logistic Regression Model is 0.8062573.
The accuracy for Random Forest Model is 0.8179689.
This report was generated on February 16, 2020.
Predicted Results
About Report
Created by: Vignesh EA
Confidential: Nothing like that!